TD-SCDMA_RAKE

自己写的圆阵空间谱估计MUSIC和mvdr(Write your own circular array spatial spectrum estimation MUSIC and mvdr)

用matlab编写的钟摆动画,可是实现钟摆的摆动和时针分针秒针的跳动(matlab)

说明：  matlab源代码，是重要的地震勘探源代码，工具箱程序(matlab source code, it is important to seismic exploration source code, toolbox procedures)

homography of color image in matlab.

active contour snake technique for segmentaion of gray scale image

数字信号处理及MATLAB实现__第二版__学习辅导与习题详解_余成波，杨菁，杨如民主编_清华大学出版社_2010.07_(Digital signal processing and MATLAB to achieve the second edition __ __ _ Detailed study counseling and exercise Yucheng Bo, Yang Jing, Yang Rumin editor _ Tsinghua University Press _2010.07_)

根据采样定理对信号采样，之后依据采样值恢复原信号。恢复的信号基本一致，验证性(Signal is sampled according to the sampling theorem, and then restore the original signal based on sampled values. Recovered signal basically the same, confirmatory)

Trans. Funcion de transferencia. Filtro pasa bajas. MATLAB. Trans. Funcion de transferencia. Filtro pasa bajas. MATLAB. Trans. Funcion de transferencia. Filtro pasa bajas. MATLAB. Trans. Funcion de transferencia. Filtro pasa bajas. MATLAB.

T-S模糊神经网络的matlab源程序，实测可运行，并且可自动显示预测结果与实测结果，便于进行对比(T-S fuzzy neural network matlab source code, can be found running, and can be displayed automatically predicted and measured results, for easy comparison)

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )